TensorFlow Lite in Android with Google Play Services
Offered By: TensorFlow via YouTube
Course Description
Overview
Explore TensorFlow Lite integration in Android using Google Play services in this 46-minute talk by He Jiang. Discover how to run ML models without statically bundling TensorFlow Lite libraries, reducing app size and improving performance. Learn about the Early Access Program, sample app implementation, dependencies, classes, initialization, and Interpreter API. Gain insights on moving models to GPU, performance optimization, language support including Java, and API delegates. Understand the benefits and practical applications of TensorFlow Lite in Android development for efficient machine learning deployment.
Syllabus
Introduction
What is TensorFlow Lite
Benefits
Early Access Program
Sample App
Dependencies
Classes
Initialization
Interpreter API
Dependency
move model to GPU
performance
languages support
Java support
API delegate
Optimization
Language support
Taught by
TensorFlow
Related Courses
Моделирование биологических молекул на GPU (Biomolecular modeling on GPU)Moscow Institute of Physics and Technology via Coursera Practical Deep Learning For Coders
fast.ai via Independent GPU Architectures And Programming
Indian Institute of Technology, Kharagpur via Swayam Perform Real-Time Object Detection with YOLOv3
Coursera Project Network via Coursera Getting Started with PyTorch
Coursera Project Network via Coursera